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same stuff.

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This commit is contained in:
sayakpaul
2026-01-20 18:05:20 +05:30
parent 2fe9f9868d
commit e1249d2640
4 changed files with 4 additions and 4 deletions
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2
tests/pipelines/hidream_image/test_pipeline_hidream.py
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@@ -151,7 +151,7 @@ class HiDreamImagePipelineFastTests(PipelineTesterMixin, unittest.TestCase):
self.assertEqual(generated_image.shape, (128, 128, 3))
# fmt: off
expected_slice = np.array([0.4507, 0.5256, 0.4205, 0.5791, 0.4848, 0.4831, 0.4443, 0.5107, 0.6586, 0.3163, 0.7318, 0.5933, 0.6252, 0.5512, 0.5357, 0.5983])
expected_slice = np.array([0.4501, 0.5256, 0.4207, 0.5783, 0.4842, 0.4833, 0.4441, 0.5112, 0.6587, 0.3169, 0.7308, 0.5927, 0.6251, 0.5509, 0.5355, 0.5969])
# fmt: on
generated_slice = generated_image.flatten()

2
tests/pipelines/hunyuan_video/test_hunyuan_image2video.py
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@@ -233,7 +233,7 @@ class HunyuanVideoImageToVideoPipelineFastTests(
self.assertEqual(generated_video.shape, (5, 3, 16, 16))
# fmt: off
expected_slice = torch.tensor([0.444, 0.479, 0.4485, 0.5752, 0.3539, 0.1548, 0.2706, 0.3593, 0.5323, 0.6635, 0.6795, 0.5255, 0.5091, 0.345, 0.4276, 0.4128])
expected_slice = torch.tensor([0.4441, 0.4790, 0.4485, 0.5748, 0.3539, 0.1553, 0.2707, 0.3594, 0.5331, 0.6645, 0.6799, 0.5257, 0.5092, 0.3450, 0.4276, 0.4127])
# fmt: on
generated_slice = generated_video.flatten()

2
tests/pipelines/qwenimage/test_qwenimage_edit.py
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@@ -163,7 +163,7 @@ class QwenImageEditPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
self.assertEqual(generated_image.shape, (3, 32, 32))
# fmt: off
expected_slice = torch.tensor([[0.5637, 0.6341, 0.6001, 0.5620, 0.5794, 0.5498, 0.5757, 0.6389, 0.4174, 0.3597, 0.5649, 0.4894, 0.4969, 0.5255, 0.4083, 0.4986]])
expected_slice = torch.tensor([0.5640, 0.6350, 0.6003, 0.5606, 0.5801, 0.5502, 0.5757, 0.6388, 0.4174, 0.3590, 0.5647, 0.4891, 0.4975, 0.5256, 0.4088, 0.4991])
# fmt: on
generated_slice = generated_image.flatten()

2
tests/pipelines/qwenimage/test_qwenimage_edit_plus.py
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@@ -164,7 +164,7 @@ class QwenImageEditPlusPipelineFastTests(PipelineTesterMixin, unittest.TestCase)
self.assertEqual(generated_image.shape, (3, 32, 32))
# fmt: off
expected_slice = torch.tensor([[0.5637, 0.6341, 0.6001, 0.5620, 0.5794, 0.5498, 0.5757, 0.6389, 0.4174, 0.3597, 0.5649, 0.4894, 0.4969, 0.5255, 0.4083, 0.4986]])
expected_slice = torch.tensor([0.5640, 0.6339, 0.5997, 0.5607, 0.5799, 0.5496, 0.5760, 0.6393, 0.4172, 0.3595, 0.5655, 0.4896, 0.4971, 0.5255, 0.4088, 0.4987])
# fmt: on
generated_slice = generated_image.flatten()